Journal on Communications ›› 2022, Vol. 43 ›› Issue (12): 222-232.doi: 10.11959/j.issn.1000-436x.2022230

• Correspondences • Previous Articles    

Temporal dependent rate-distortion optimization based on distortion backward propagation

Hongwei GUO1,2, Ce ZHU2, Xu YANG3,4, Lei LUO2,3   

  1. 1 School of Engineering, Honghe University, Mengzi 661100, China
    2 School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
    3 School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
    4 School of Physics and Engineering Technology, Chengdu Normal University, Chengdu 611130, China
  • Revised:2022-10-31 Online:2022-12-25 Published:2022-12-01
  • Supported by:
    The National Natural Science Foundation of China(62061015);The National Natural Science Foundation of China(62020106011);The National Natural Science Foundation of China(U19A2052);The Yunnan Fundamental Research Project(202101AT070051);The Yunnan Fundamental Research Project(202001BA070001-098);The Reserve Talents for Yunnan Young and Middle-aged Academic and Technical Leader(202205AC160055)

Abstract:

Rate-distortion optimization (RDO) is a crucial technique in block based hybrid video encoders.However, the widely used independent RDO is far from obtaining optimal coding performance.To improve the rate-distortion (R-D) performance of high efficiency video coding (HEVC), a temporal dependent RDO algorithm was proposed.Firstly, the formula to calculate temporal distortion propagation factor was derived by using an exponential R-D function.Then, the coding distortion and motion compensation predicted error were obtained by pre-encoding, and the temporal distortion propagation factor was estimated by using distortion backward propagation.Finally, the Lagrange multiplier and quantization parameter of coding tree unit were adaptively adjusted to optimize bit resources allocation.Experimental results show that compared with the original RDO method in HEVC under the low-delay configuration, the proposed algorithm achieves an average 4.4% bit rate reduction for all test sequences, and up to 13.0% bit rate reduction for test sequence BasketballDrill, at the same reconstructed video quality.

Key words: HEVC, rate-distortion optimization, rate-distortion dependency, distortion propagation model, adaptive Lagrange multiplier

CLC Number: 

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